Machine Learning for Developers

  1. Production Monitoring and Maintenance
    1. Performance Monitoring
      1. Model Performance Metrics
        1. Accuracy Tracking
          1. Latency Monitoring
            1. Throughput Measurement
            2. System Performance Metrics
              1. Resource Utilization
                1. Error Rates
                  1. Availability Metrics
                  2. Business Metrics
                    1. KPI Tracking
                      1. ROI Measurement
                        1. User Satisfaction
                      2. Data and Model Drift Detection
                        1. Data Drift
                          1. Statistical Tests
                            1. Distribution Comparison
                              1. Feature Drift Detection
                              2. Concept Drift
                                1. Drift Types
                                  1. Detection Algorithms
                                    1. Adaptation Strategies
                                    2. Model Drift
                                      1. Performance Degradation
                                        1. Prediction Drift
                                          1. Confidence Drift
                                        2. Model Maintenance Strategies
                                          1. Retraining Triggers
                                            1. Performance Thresholds
                                              1. Time-Based Triggers
                                                1. Data Volume Triggers
                                                2. Retraining Approaches
                                                  1. Full Retraining
                                                    1. Incremental Learning
                                                      1. Online Learning
                                                      2. Model Rollback Strategies
                                                        1. Version Management
                                                          1. Rollback Triggers
                                                            1. Recovery Procedures
                                                          2. Logging and Alerting
                                                            1. Prediction Logging
                                                              1. Input Logging
                                                                1. Output Logging
                                                                  1. Metadata Logging
                                                                  2. Error Tracking
                                                                    1. Exception Handling
                                                                      1. Error Classification
                                                                        1. Root Cause Analysis
                                                                        2. Alert Configuration
                                                                          1. Threshold-Based Alerts
                                                                            1. Anomaly-Based Alerts
                                                                              1. Escalation Procedures

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                                                                          8. Model Deployment and MLOps

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                                                                          10. Natural Language Processing for Developers